Immune pathways and TP53 missense mutations are associated with longer survival in canine osteosarcoma

被引:0
|
作者
Sunetra Das
Rupa Idate
Daniel P. Regan
Jared S. Fowles
Susan E. Lana
Douglas H. Thamm
Daniel L. Gustafson
Dawn L. Duval
机构
[1] Colorado State University,Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences
[2] Colorado State University,Flint Animal Cancer Center
[3] Colorado State University,Department of Microbiology, Immunology, & Pathology
[4] University of Colorado Cancer Center,Cell and Molecular Biology Graduate Program
[5] Anschutz Medical Campus,undefined
[6] Colorado State University,undefined
来源
Communications Biology | / 4卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Osteosarcoma affects about 2.8% of dogs with cancer, with a one-year survival rate of approximately 45%. The purpose of this study was to characterize mutation and expression profiles of osteosarcoma and its association with outcome in dogs. The number of somatic variants identified across 26 samples ranged from 145 to 2,697 with top recurrent mutations observed in TP53 and SETD2. Additionally, 47 cancer genes were identified with copy number variations. Missense TP53 mutation status and low pre-treatment blood monocyte counts were associated with a longer disease-free interval (DFI). Patients with longer DFI also showed increased transcript levels of anti-tumor immune response genes. Although, T-cell and myeloid cell quantifications were not significantly associated with outcome; immune related genes, PDL-1 and CD160, were correlated with T-cell abundance. Overall, the association of gene expression and mutation profiles to outcome provides insights into pathogenesis and therapeutic interventions in osteosarcoma patients.
引用
收藏
相关论文
共 50 条
  • [1] Immune pathways and TP53 missense mutations are associated with longer survival in canine osteosarcoma
    Das, Sunetra
    Idate, Rupa
    Regan, Daniel P.
    Fowles, Jared S.
    Lana, Susan E.
    Thamm, Douglas H.
    Gustafson, Daniel L.
    Duval, Dawn L.
    COMMUNICATIONS BIOLOGY, 2021, 4 (01)
  • [2] TP53 gene mutations in canine osteosarcoma
    Kirpensteijn, Jolle
    Kik, Marja
    Teske, Erik
    Rutteman, Gerard R.
    VETERINARY SURGERY, 2008, 37 (05) : 454 - 460
  • [3] TP53 missense mutations associate with different metabolic pathways.
    Kelemen, Linda E.
    Brenton, James D.
    Bowtell, David D.
    Fridley, Brooke L.
    CLINICAL CANCER RESEARCH, 2018, 24 (15) : 44 - 44
  • [4] TP53 Mutations in Canine Brain Tumors
    York, D.
    Higgins, R. J.
    LeCouteur, R. A.
    Wolfe, A. N.
    Grahn, R.
    Olby, N.
    Campbell, M.
    Dickinson, P. J.
    VETERINARY PATHOLOGY, 2012, 49 (05) : 796 - 801
  • [5] Polymorphisms in TP53 are associated with risk and survival of osteosarcoma in a Chinese population
    Ru, Jiang-Ying
    Cong, Yu
    Kang, Wen-Bo
    Yu, Lei
    Guo, Tin
    Zhao, Jian-Ning
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY, 2015, 8 (03): : 3198 - 3203
  • [6] TP53 missense mutations in PDAC are associated with enhanced fibrosis and an immunosuppressive microenvironment
    Maddalena, Martino
    Mallel, Giuseppe
    Nataraj, Nishanth Belugali
    Shreberk-Shaked, Michal
    Hassin, Ori
    Mukherjee, Saptaparna
    Arandkar, Sharathchandra
    Rotkopf, Ron
    Kapsack, Abby
    Lambiase, Giuseppina
    Pellegrino, Bianca
    Ben-Isaac, Eyal
    Golani, Ofra
    Addadi, Yoseph
    Hajaj, Emma
    Eilam, Raya
    Straussman, Ravid
    Yarden, Yosef
    Lotem, Michal
    Oren, Moshe
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2021, 118 (23)
  • [7] TP53 Mutations and Survival in Osteosarcoma Patients: A Meta-Analysis of Published Data
    Chen, Zhe
    Guo, Jiayi
    Zhang, Kun
    Guo, Yanxing
    DISEASE MARKERS, 2016, 2016
  • [8] Reassessment of the TP53 mutation database in human disease by data mining with a library of TP53 missense mutations
    Soussi, T
    Kato, S
    Levy, PP
    Ishioka, C
    HUMAN MUTATION, 2005, 25 (01) : 6 - 17
  • [9] TP53 mutations and outcome in osteosarcoma:: A prospective, multicenter study
    Wunder, JS
    Gokgoz, N
    Parkes, R
    Bull, SB
    Eskandarian, S
    Davis, AM
    Beauchamp, CP
    Conrad, EU
    Grimer, RJ
    Healey, JH
    Malkin, D
    Mangham, DC
    Rock, MJ
    Bell, RS
    Andrulis, IL
    JOURNAL OF CLINICAL ONCOLOGY, 2005, 23 (07) : 1483 - 1490
  • [10] TP53_PROF: a machine learning model to predict impact of missense mutations in TP53
    Ben-Cohen, Gil
    Doffe, Flora
    Devir, Michal
    Leroy, Bernard
    Soussi, Thierry
    Rosenberg, Shai
    BRIEFINGS IN BIOINFORMATICS, 2022, 23 (02)